#vulnerability

Risk fragmentation remains one of the most overlooked barriers to effective business performance. It doesn’t show up all…

A hacker using the alias “Lovely” has leaked what they claim is the personal data of over 2.3…

A security vulnerability has been detected in actiontech sqle up to 4.2511.0. The impacted element is an unknown function of the file sqle/utils/jwt.go of the component JWT Secret Handler. The manipulation of the argument JWTSecretKey leads to use of hard-coded cryptographic key. The attack is possible to be carried out remotely. The attack's complexity is rated as high. The exploitability is regarded as difficult. The exploit has been disclosed publicly and may be used. The project was informed of the problem early through an issue report and is planning to fix this flaw in an upcoming release.

The future of conflict is cheap, rapidly manufactured, and tough to defend against.

A high-severity security flaw has been disclosed in MongoDB that could allow unauthenticated users to read uninitialized heap memory. The vulnerability, tracked as CVE-2025-14847 (CVSS score: 8.7), has been described as a case of improper handling of length parameter inconsistency, which arises when a program fails to appropriately tackle scenarios where a length field is inconsistent with the

The function `reciprocal_mg10` is marked as safe but can trigger undefined behavior (out-of-bounds access) because it relies on `debug_assert!` for safety checks instead of `assert!`. When compiled in release mode, the `debug_assert!` is optimized out, potentially allowing invalid inputs to cause memory corruption.

A path traversal vulnerability in Croogo CMS 4.0.7 allows remote attackers to read arbitrary files via a specially crafted path in the 'edit-file' parameter.

Prototype pollution vulnerability in apidoc-core versions 0.2.0 and all subsequent versions allows remote attackers to modify JavaScript object prototypes via malformed data structures, including the “define” property processed by the application, potentially leading to denial of service or unintended behavior in applications relying on the integrity of prototype chains. This affects the preProcess() function in api_group.js, api_param_title.js, api_use.js, and api_permission.js worker modules.

### Impact A sandbox bypass vulnerability exists in the Python Code Node that uses Pyodide. An authenticated user with permission to create or modify workflows can exploit this vulnerability to execute arbitrary commands on the host system running n8n, using the same privileges as the n8n process. ### Patches In n8n version 1.111.0, a task-runner-based native Python implementation was introduced as an optional feature, providing a more secure isolation model. To enable it, you need to configure the `N8N_RUNNERS_ENABLED` and `N8N_NATIVE_PYTHON_RUNNER` environment variables. This implementation became the default starting with n8n version 2.0.0. ### Workarounds - Disable the Code Node by setting the environment variable `NODES_EXCLUDE: "[\"n8n-nodes-base.code\"]"` ([Docs)](https://docs.n8n.io/hosting/securing/blocking-nodes/) - Disable Python support in the Code node by setting the environment variable `N8N_PYTHON_ENABLED=false`, which was introduced in n8n version 1.104.0. - Config...

## Summary An insecure deserialization vulnerability exists in lmdeploy where `torch.load()` is called without the `weights_only=True` parameter when loading model checkpoint files. This allows an attacker to execute arbitrary code on the victim's machine when they load a malicious `.bin` or `.pt` model file. **CWE:** CWE-502 - Deserialization of Untrusted Data --- ## Details Several locations in lmdeploy use `torch.load()` without the recommended `weights_only=True` security parameter. PyTorch's `torch.load()` uses Python's pickle module internally, which can execute arbitrary code during deserialization. ### Vulnerable Locations **1. `lmdeploy/vl/model/utils.py` (Line 22)** ```python def load_weight_ckpt(ckpt: str) -> Dict[str, torch.Tensor]: """Load checkpoint.""" if ckpt.endswith('.safetensors'): return load_file(ckpt) # Safe - uses safetensors else: return torch.load(ckpt) # ← VULNERABLE: no weights_only=True ``` **2. `lmdeploy/turbomind/dep...